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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
May 2017 | Vol. 95 No.9

Title:	LITERATURE REVIEW ON ENERGY CONSUMPTION AND CONSERVATION IN MOBILE DEVICE
Author:	ABDIFATAH FARAH ALI , NAJWA HANIS MOHD HATTA , KOH TIENG WEI
Abstract:	Mobile devices are increasing in number today. Consequently, computational resources are growing in tandem. Energy consumption has become a major issue all over the globe. On mobile devices (smart phones),there is a huge gap between battery power capabilities as well as innovations with other technologies (for example, developing and also memory space), this is especially the case with examining the rapid development in its consumed energy-lost mobile phone in different area (such as, multimedia streaming). Most of the insufficient power supplies and also the need for minimizing energy depletion offers the commitment for professionals to create energy consumption techniques or model for coming-generation wireless network. Based on the above, it is necessary to take the approach for energy consumption minimization and improvement of energy conservation into consideration. This could help achieve the desire of green technology for using less energy power in mobile devices. To gain this aim is it possible? Consequently, heterogeneous approach in energy consumption and conservation in mobile device which have been proposed by various researchers has been investigated in this paper. This would help to put in proper perspective the different energy consumption models directed at energy conservation.
Keywords:	Energy Consumption, Energy Conservation, Mobile Devices, Wireless Networks, Multimedia Streaming
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	SUSTAINABLE ADOPTION AND IMPLEMENTATION IN COLLABORATIVE ENTERPRISE: A SYSTEMATIC LITERATURE REVIEW
Author:	BOKOLO ANTHONY JNR, MAZLINA ABDUL MAJID, AWANIS ROMLI
Abstract:	Human life is reliant upon the natural environment, which, most would agree, is rapidly degrading; presently one of the most difficult problems that humanity faces is the sustainable development of our society, i.e. how to meet the needs of the present without compromising the ability of future generations to meet their own needs. The sustainable enterprise is one that contributes to sustainable development by simultaneously delivering economic, social, and environmental benefits. Sustainability has been increasingly becoming a tactical consideration for developing Green practices through balancing social, economic and environmental performance of collaborative enterprise (CE). As the perceived importance of eco-sustainability has grown, there has been increasing discussion on both eco-sustainable solutions. An understanding of the process, variables and related attributes that influence CE to adopt and implement sustainable practices may contribute in creating a Green CE. Presently there are a few Green ITIS and sustainability review paper published, however none of these review papers aimed at exploring Green process, variables (independent, moderating, mediating, control and dependent) and their related attributes in relation to adoption and implementation of Green practices in CE. Thus to get a clear understanding of how practitioners and decision makers implement and adopt sustainable practice in CE, this paper carries out a systematic literature review to investigate existing research in the domain of Green ITIS and sustainability in CE. Findings from this paper show that existing models and frameworks are limited with the capability to support IT practitioners to make strategic decision on how to implement and adopt Sustainable practice in CE. This paper also shows the Green ITIS process, variables and their related attributes to be considered in going Green in CE. Existing Sustainable models and frameworks developed in CE previously was also explored. Lastly the discussion, contribution, limitation, implication of the study, conclusion and future work is stated.
Keywords:	Green IT IS, Sustainability, Collaborative Enterprise, Variables, Attributes, Process.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	AN OPTIMIZED MAX-MIN SCHEDULING ALGORITHM IN CLOUD COMPUTING
Author:	J. KOK KONJAANG, FAHRUL HAKIM AYOB, ABDULLAH MUHAMMED
Abstract:	The fundamental problems with cloud computing environment are resource allocation and cloudlets scheduling. When scheduling cloudlets in cloud environment, different cloudlets needs to be executed simultaneously by the available resources in order to meet consumers� expectations and to achieve better performances by minimizing makespan and balancing load effectively. To achieve this, we proposed a new noble mechanism called Modified Max-Min (MMax-Min) algorithm, inspired from Max-Min algorithm. The proposed algorithm finds a cloudlet with maximum completion time and minimum completion time and assigns either of the cloudlets for execution according to the specifications for the purpose of boosting up cloud scheduling processes and increasing throughput. From the results of the simulation using CloudSim, it shows that our proposed approach is able to produce good quality solutions, producing good values of makespan and balancing load effectively as compared to the standard Max-Min, and Round Robin algorithms.
Keywords:	Cloud Computing; Max-Min; MMax-Min, Makespan and Load Balancing.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	PROPOSED HYBRID METHOD TO HIDE INFORMATION IN ARABIC TEXT
Author:	SUHAD M. KADHEM , DHURGHAM W. MOHAMMED ALI
Abstract:	In this method a new proposed approach to hide English texts (Secret data) in the Arabic text (Covers media). The secret text will be passed through several steps, Eventually it will be embedded in the cover text. In the proposed coding step each English character is converted to the binary code through secret tables that exist on the two sides (sending and receiving), which give us compression data. The output from the proposed coding will be two parts and these parts will be input to the next steps. The next step is Modified RNA Codon (MRNAC) which takes the first part that result from binary code and returns a stream of binary to be ready for embedding in embedding step. After that Modified Run Length Encoding (MRLE) that takes the second part that results from the proposed coding method and this result always contains a sequence of ones with fewer zeros, and apply RLE to this result. The last step is the embedding step using specific Arabic Unicode characters and non-printed characters to embed the secret information and provide complete similarity between cover text and stego text since these characters don�t appear when written.
Keywords:	Security, Steganography, RNA, Codon, Coding.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	MATHEMATICAL MODELING AND SIMULATION MECHANISM OF GENETICS BEHAVIOR TOGETHER WITH NEURAL FUZZY SYSTEM
Author:	RAED I. HAMED
Abstract:	Many studies have used different types of mathematical modeling and simulation in solving examination genetics behavior problem. The solutions of the genetics behavior are found to be efficient and reliable with neural fuzzy system. This paper provides a comprehensive study of genetics behavior problem. This study is frequently robust or even difficult to get accurate information regarding genetics behavior. Here, we exhibit a model of quantitative fuzzy rationale demonstrating approach that can adapt to obscure motor information and hence deliver applicable results despite the fact that dynamic information are fragmented or just dubiously characterized. Fuzzy Petri nets (FPNs) gives a graphically and scientific system that is good with ineffectively quantitative yet subjectively huge information. All of genes regulatory networks (GRNs) quests depend on fresh and parametric qualities, in spite of innate fuzzy nature of quality expression. In the proposed display, a quality expression profile is initially changed into a mapping structure and afterward the changed information are mapped into the fuzzy framework. The models of FNPN are characterized in view of creating tenets of information base and the FPN semantics depiction of legitimate principles are displayed. Since the relations are spoken to by fuzzy method, the invented strategy is powerful to uproarious and questionable data. FNPN to speak to the dynamic information on the base of learning representation with self-learning capacity.
Keywords:	Mathematical Modeling and Simulation; Fuzzy Model and Fuzzy Sets; Genetics Behavior; Neural Network, Linguistic Variables
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	PERFORMANCE ANALYSIS OF A WIND TURBINE WITH PERMANENT MAGNET SYNCHRONOUS GENERATOR
Author:	RAMADONI SYAHPUTRA, RAMA OKTA WIYAGI, SUDARISMAN
Abstract:	This paper presents performance analysis of a 2 kW wind turbine with permanent magnet synchronous generator. The Government of the Republic of Indonesia through the Ministry of Energy and Mineral Resources (ESDM) targets by 2025 of at least 23% of the total national electricity supply comes from renewable energy sources. Government programs must be supported by all regions to help build renewable energy power plants to its potential of each. In this case, the district of Bantul, Yogyakarta Special Region Province, Indonesia, particularly the southern coastal region is very likely to be developed wind power plant. In this research, the create-designing and testing of wind power with maximum capacity of 2 kW is done. The test has been carried out on September 5 and 6, 2016 at the Baru Beach, Srandakan, Bantul. The test results on September 5, 2016 showed that the highest power generator occurred at 12:40 PM is 768.96 watts, with a wind speed of 8.76 m/s, AC voltage of generator is 40.00 volts, the DC voltage generator after rectified be 53.40 volts, and the load current is 14.40 ampere. In this condition, the 2 kW wind turbine has the efficiency of 38.4%. Furthermore, the test results dated 6 September 2016 found that the highest power generator at 10:50 PM is 842.20 watts, with a wind speed 9.53 m/s. At this peak condition resulting AC voltage of generator of 39.00 volts, the DC voltage of 49.60 volts, the load current of 17.00 amperes, and resulting in efficiency of 42.1%. The research results indicate that wind turbine is an alternative solution in the southern coastal region of Bantul for the supply of renewable energy sources.
Keywords:	Wind Turbine, Synchronous Generator, Permanent Magnet, Renewable Energy, Efficiency
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	FIELD-ORIENTED INDUCTION MULTI-MACHINE DRIVE USING SINGLE-INVERTER AND DIAGONAL RECURRENT NEURAL NETWORK
Author:	DEDY KSETIAWAN, SUPRIHADI P, B. S. KALOKO
Abstract:	This paper describes a strategy to develop a model electric car control of induction multi-machine drive using single-inverter under unbalanced load conditions. It is discusses improving existing multi-machine field-oriented control methods using Diagonal Recurrent Neural Network (DRNN), and analyses and compares them from dynamic performance. By this method the speed and current difference for both motors due to load fluctuation was minimized. Therefore, the motors will remain in sync without any slippage speed on the second drive. Based on simulation results is known that the current steady state, the controller DRNN produce both motors speed difference is smaller (2 rad/sec) when compared using the PI controller (7 rad/sec).
Keywords:	Multi-Machine Induction Motor; Diagonal Recurrent Neural Network; Electric Car Control
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	MEASUREMENT OF EFFECTIVENESS OF A LECTURER IN TRANSFERRING ALGEBRA KNOWLEDGE THROUGH OF MULTIMEDIA FACILITIES BY USING CERTAINTY FACTOR-FORMATIVE-SUMMATIVE MODEL
Author:	DEWA GEDE HENDRA DIVAYANA, I MADE ARDANA, I PUTU WISNA ARIAWAN
Abstract:	Algebra courses are probably difficult enough for most students in a college. This is because most students have not understood their basic concepts. To understand the basic concepts of algebra, the students are required to spend more time in learning the courses and in doing the exercises. In addition, they also have to be brave to ask the lecturers if they find problems. It is in this context that a lecturer has to be ready to transfer his knowledge to the students, either using conventional teaching materials or multimedia facilities, so that they can understand the knowledge given to them. This research aims to know the use of evaluation model through mobile technology in measurement of effectiveness of a lecturer in transferring Algebra knowledge through of multimedia facilities. In order to realize these objectives, the lecturer has to give an evaluation. In addition to giving the evaluation to the students, the lecturer also needs to give questionnaire to the students to know the students� response to/view about the lecturer�s method in transferring his knowledge. The evaluation model used in this study to determine the degree of effectiveness of a lecturer in transferring his or her knowledge to the students was the formative-summative model combined with certainty factor method. The technology used to measurement of effectiveness is a mobile technology, specifically Android application.
Keywords:	Transfer of Knowledge, Multimedia, Evaluation, Formative �Summative, Certainty Factor.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	PROGRAMMABLE AMPLITUDE OF PORTABLE ELECTRICAL STIMULATOR FOR MULTI-CHANNEL FUNCTIONAL ELECTRICAL STIMULATOR (FES) SYSTEM
Author:	RACHMAD SETIAWAN, ACHMAD ARIFIN, FAJAR BUDIMAN, ADI SOEPRIJANTO
Abstract:	Fundamental research about Functional Electrical Stimulation (FES) indicates that FES can be used to rehabilitate motoric system of patient experiencing damage at arrangement of central nerve resulted from cerebrospinal of cord injury (SCI) and also stroke. To generate impulse to human body organ activated by FES is difficult and very complex because of nonlinearity response from neuromuscular system, various response of musculoskeletal system such as having long time delay and fatigue phenomenon (muscle fatigue). Therefore, an open-looped control system is inappropriate to employ. Close-looped control is feasibly appropriate to overcome this constraint in FES appliance to yield accurate impulse generator. For the application of closed-loop control at clinical level, FES system must be designed using portable multi-channel device to pleasant the patient. In this research, the realized FES stimulator is designed by employing a highly linear boost converter circuit using fixed frequency and duty cycle ranging from 0% to 25%, because it yields relatively linear and higher output voltage swing than FES controlled by frequency.
Keywords:	Functional Electrical Stimulation, FES, closed-loop control, boost converter, duty cycle
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	CIPP EVALUATION MODEL BASED ON MOBILE PHONE IN EVALUATING THE USE OF BLENDED LEARNING PLATFORMS AT VOCATIONAL SCHOOLS IN BALI
Author:	DEWA GEDE HENDRA DIVAYANA, DEWA BAGUS SANJAYA, ANAK AGUNG ISTRI NGURAH MARHAENI, I GEDE SUDIRTHA
Abstract:	The purpose of this study was to obtain information about the platform most suitable for use in supporting the implementation of blended learning at vocational schools in Bali to determine the highest level of effectiveness on each platform in terms of components of context, input, process, and product by using CIPP evaluation model based of mobile phone. Using this model, the education evaluator can to evaluate the use of the platforms for blended learning at vocational schools in Bali as a whole from the component of context, input, process and product that will be able to provide appropriate recommendations to determine the selection of a suitable platform used for blended learning at vocational schools in Bali. Subjects in this study consisted of: managers of blended learning, students, and teachers. The method used in this study is an evaluative study, using the CIPP evaluation model. The results obtained in this study indicate that the highest level of effectiveness in the component of context amounted to 86.6% that used the Edmodo platform, the highest level of effectiveness in the component of input amounted to 87.2% that used the Edmodo platform, the highest level of effectiveness in the component of process amounted to 88.9% that used the Quipper School platform, and the highest level of effectiveness in the component of product amounted to 89.3% that used the Edmodo platform. The most suitable platforms used to support the implementation of blended learning at vocational schools in Bali is Edmodo Platform.
Keywords:	Blended Learning, Platforms, Evaluation, CIPP.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	A NEURO COMPUTING FRAME WORK FOR THYROID DISEASE DIAGNOSIS USING MACHINE LEARNING TECHNIQUES
Author:	SHAIK RAZIA, M.R.NARASINGARAO
Abstract:	Thyroid is a disease, managing of which a difficult proposition in a clinical set up. Many researchers have developed different machine learning techniques to diagnose the disease. Different models had been developed using different algorithms for prediction of the disease. In this proposed research, an integrated model using two neuronal models (SOM and LVQ) have been developed for the purpose. The unlabeled dataset consisting of 215 instances has been gathered from UCI repository. Five inputs have been considered for the model. They are Triiodothyronine, serum Thyroxin, Total Serum Triiodothyronine, TSH, Max TSH and the output is considered as status which has values 1(hyper),2(hypo) and 3(Normal). The integrated model has been developed using competitive learning algorithm along with vector quantization algorithm. The outcome of the integrated model has been compared with decision tree model in predicting the disease and it is observed that the integrated model outperformed the decision tree model with respect to the accuracy of the network. The integrated model has been developed with .net technology and the decision tree model is generated using statistical programming language using R.
Keywords:	Self Organized Maps, Linear Vector Quantization, Triiodothyronine, Serum Thyroxin, Serum Triiodothyronine, Thyroid Stimulating Hormone, Hyper Thyroid, Hypothyroid, Decision Tree.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	COMPUTER BASED GENOMIC SEQUENCES ANALYSIS USING LEAST MEAN FORTH ADAPTIVE ALGORITHMS
Author:	SRINIVASAREDDY PUTLURI, MD ZIA UR RAHMAN, SHAIK YASMIN FATHIMA
Abstract:	True prediction of protein coding regions in a deoxyribonucleic acid (DNA) is a major task in the field of Bioinformatics. Study of regions which code for proteins is a key aspect of disease identification and designing drugs. The sections of DNA that include protein coding information are known as exons. Mainly exon regions in the genes show three base periodicity (TBP), which serves as a base for all exon locating methods. For locating the exon regions many techniques have been applied successfully, but development is still needed in this area. Using signal processing methods, TBP can be easily determined. Adaptive signal processing techniques found to be apt due to their diverse ability to alter filter co-efficients depending on the genomic sequence. In this paper, we propose efficient an adaptive exon predictor (AEP) based on these deliberations for DNA sequence analysis and computing. In order to increase the exon locating capability, we develop various AEPs using normalized least mean forth algorithm (NLMF) and its variants. These proposed AEPs notably reduces computational complexity and provides better performance in terms of performance measures like sensitivity, specificity, and precision. It was shown that variable normalized least mean forth (VXENLMF) based AEP is found to be superior than NLMS in exon identification applications based on performance measures with Specificity 0.7468, Sensitivity 0.7562, and Precision 0.7523 at a threshold of 0.8 for a genomic sequence with accession AF009962. Also, this algorithm performs better with respect to convergence by normalization of step size. Finally the exon locating capability of various AEPs is tested using several real DNA sequences obtained from National Center for Biotechnology Information (NCBI) database and compared with existing LMS method. It was shown that proposed AEPs are more efficient for locating exon regions in a DNA sequence.
Keywords:	Adaptive Exon Predictor, Computational Complexity, Deoxyribonucleic Acid, Disease Identification, Exons, Three Base Periodicity
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	COMPARATIVE ANALYSIS OF CORDIC ALGORITHM AND TAYLOR SERIES EXPANSION
Author:	M. MANASA, FAZAL NOORBASHA, CH.L.SUDHESHNA, M.SANTHOSH, V.NARESH, MD. ZIA UR RAHMAN
Abstract:	In recent times, power consumption and the area efficiency has become a challenge in designing Very Large Scale Integrated Circuits (VLSI). CORDIC (Coordinate Rotational Digital Computer) has come out as its solution in performing trigonometric elementary functions because of the fact that uses only shifters and adders. In this article, CORDIC potentiality is exhibited as it finds its applications in many streams like Communication, Digital Signal Processing and Image processing, angle rotation in hyperbolic, linear and circular coordinate systems, Vector transformation, scientific calculators, Robotics. The latency of Taylor series expansion to compute sine/cosine angles is also discussed. The Xilinx implementation of CORDIC is simulated and the overview of its applications in modern era is presented. The proposed paper explains the performance of CORDIC with the elimination of sine block in the initial stages as the sine of the smaller angles is negligible.
Keywords:	CORDIC, Image Processing, Sine/Cosine, Elementary Functions.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	COMPARATIVE ANALYSIS OF MEMS CAPACITIVE PRESSURE SENSOR FOR DETECTION OF TREMORS IN PARKINSONS DISEASE
Author:	GRK PRASAD, N.SIDDAIAH, PREETI.M 4K.SRINIVASA RAO, E.BHAVITHA, P.S.SRINIVAS BABU
Abstract:	In this paper, we are proposing a novel high sensitive, more reliable structure for an accelerometer sensor with silicon material which detects the resting tremor (continues tremor or Pill rolling tremor) of a patient suffering from Parkinsons Disease. The essential tremor frequency is from 3Hz to 7Hz. The Proposed structure is simulated using COMSOL Multi Physics 5.0 CAD tool and results are compared with the different shaped proof mass with different materials of a moving part of sensor. The minimum range of Eigen frequency that the proposed structure got 2.3572Hz and the maximum range is 8.679Hz with a displacements of 1.04μm to 2.74 μm. It is evident that now a days only the clinical based tests are the conventional tests to detect the severity of the tremor for Parkinsons Disease as per the UPDRS. In this paper we are proposing the new methodology to detect the resting tremor of Patient which is the initial symptom of the Parkinsons Disease. It is clear from the results that the Silicon material for proof mass gives the best sensitivity values when compared to all the materials of polymers. The capacitive actuation technique is proposed in this paper to identify the output capacitance and voltage because it gives high sensitivity and accuracy and reliability.
Keywords:	Essential Tremor, Proof Mass, Parkinsons Disease, UPDRS, Capacitive Actuation
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	COMPUTER VISION BASED DANCE POSTURE EXTRACTION USING SLIC
Author:	K.V.V. KUMAR, P.V.V. KISHORE, A.S.C.S. SASTRY, D. ANIL KUMAR, E.KIRAN KUMAR
Abstract:	Indian Cultural dance poses are segmented using two algorithms and their performance is estimated quantitatively. A data set of various dance poses are captured under controlled environments. The image dataset consists of 100 dance mudras of kuchipudi dance poses. Marker controlled Watershed and super pixel based simple linear Iterative clustering (SLIC) algorithms are proposed to accomplish the segmentation task. The results of both the algorithms show that SLIC based super pixel segmentation outperforms the watershed algorithm. Further, the results of the segmentation can be used for classification of various Indian dance forms.
Keywords:	Dance Image Segmentation, Watershed Algorithm, Super Pixels, Simple Linear Iterative Clustering.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	FPGA IMPLEMENTATION OF CRYPTOGRAPHIC SYSTEMS FOR SYMMETRIC ENCRYPTION
Author:	FAZAL NOORBASHA, M. MANASA, R. TULASI GOUTHAMI, S. SRUTHI, D. HARI PRIYA, N. PRASHANTH, MD. ZIA UR RAHMAN
Abstract:	In this proposed work, implemented a cryptographic system for symmetric encryption and hamming code for error detection and correction. Symmetric key is using same duplicate data i.e. key data for both encryption and decryption. In this encryption and decryption process hamming code which is used to check the one bit error if any. Encrypting a message can be done by supplying a message along with the key while the process of decryption can be done by passing the key along with the resultant output in order to obtain the original message. For this process AES algorithm was adopted. The original 8-bit data is 1�s complemented and it will be swapped based on the select lines and swapped data is XOR�ed with the original data finally the encrypted data will be transmitted. Encrypted data is the combination of both swapped data and encrypted data i.e.16-bit data. To get original message data the Swapped data is XOR�ed with the encrypted data which is decrypted data.
Keywords:	Encryption, Decryption, Symmetric Key, Swap Mode, XOR.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	RECENT ADVANCES IN SUBSURFACE ANALYSIS WITH QUADRATIC FREQUENCY MODULATED THERMAL WAVE IMAGING
Author:	SK.SUBHANI, B.SURESH, K.RAJESH BABU, K.SRAVANA LAKSHMI, G V SUBBARAO
Abstract:	Thermal wave imaging makes use of thermal response over the stimulated surface for detection of anomalies underneath the surface of the test object which requires the deployment of various post processing approaches to extract fine subsurface details. These subsurface details appear at various moments depending on their depth and size. Extraction of these fair details with low axial and temporal resolutions provided by thermal imagers against various noises is a criterion of importance in thermal wave imaging. Capability of non stationary thermal wave imaging to explore the subsurface details within a single experimentation at low powers resulting in gaining the interest in using it motivated the recent research to incorporate various new processing modalities intended to extract fine details along with this stimulation mechanism. This paper highlights the application of various post processing modalities to extract subsurface details using experimentation carried over a glass fiber reinforced plastic specimen with embedded Teflon inserts to simulate de-lamination like defects encountered with composites.
Keywords:	Glass Fiber Reinforced Plastic (GFRP), Principal Component Analysis (PCA), Thermal Wave Imaging, Chirp
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	A NOVEL FUSION BASED HYBRID APPROACH FOR FACE RECOGNITION SYSTEM
Author:	K.RAJU , Y.SRINIVASA RAO
Abstract:	Face recognition plays a challenging role in the field of image processing. Though one of its benefit is that the person can easily be identified among the crowd through face recognition, but it has several issues that need to be overcome such as facial expressions, ageing, occlusion etc. Face recognition method can only be entertained, if it can identify the face correctly. Global features (DWT, PCA) and point based features (Harris corner, SURF) both are considered to create a fusion based system for automatic face recognition. Accuracy, sensitivity and precision are the performance evaluation parameters are evaluated. The comparative study of various standard and conventional feature extraction techniques is carried out in this paper in order to decide which approach is more suitable for accurate face recognition. Fusion based approach gives 99.4 percent accuracy.
Keywords:	PCA, SURF, DWT, Harris Corner.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	QUAD BAND FILTENNA USING SPLIT RING RESONATORS TO NOTCH UNWANTED FREQUENCIES IN MEDICAL APPLICATION BANDS
Author:	B T P MADHAV, M VAMSI KRISHNA CHAITANYA REDDY, M VENKATESWARA RAO, C MOHAN KRISHNA, P CHANDAN RAJ, G JAYA
Abstract:	This paper demonstrates a novel multi band reject filter using complimentary split ring resonators .Here the proposed antenna was designed using Ansys HFSS software. This multiband reject filter attenuate frequencies at 2.67 GHz, 3.5 GHz, 6.6 GHz, 9.1 GHz and 11.3 GHz. This multiband reject filter is used to enhance the bandwidth and improve the return loss with the help of complimentary split ring resonators on the ground plane. The SRR is a common structure to implement meta-material properties. The SRR consists of concentric metallic plates etched on a dielectric surface which is used to increase the frequency attenuation characteristic and in turn placing these SRR at desired position led to increase of bandwidth from 0.1232 to 0.1561. The band reject filter is prone to frequency distortions which are removed by the complimentary split ring resonators. The split ring that was taken in the paper shown a good increase in the bandwidth but in order to increase the bandwidth more we opted to take an another complimentary split ring resonator over the original split, which increased the bandwidth more. The proposed band stop filter antenna characteristics are used for the medical application such as electrocardiogram.
Keywords:	Band Reject Filter, Complimentary Split Ring resonator (CSRR), Filtenna.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	COMPUTATION OF EFFECTS OF TROPOSPHERE ON KU BAND DOWN LINK SIGNAL IN TROPICAL REGIONS
Author:	GOVARDHANI.IMMADI, M.VENKATA NARAYANA1 SARAT K KOTAMRAJU, K.CH.SRI KAVYA, S.V.N.S. MANEESHA, K.RAVALI, CH.SRAVANI
Abstract:	The electromagnetic signal from the satellite while travelling down to the earth should pass through various layers of the atmosphere like troposphere, stratosphere, ionosphere etc. These layers won�t act as a transparent layer but instead they provide some obstacles in the path of the signal travel and changes the characteristics of the signal. With the advancements in technology the users are not at all compromising in using the applications like data applications, web applications, simultaneous audio video transfers, etc. which results in excess usage of the conventional frequency bands. So, the modern applications are likely to be designed at higher frequency spectrum i.e. Ku, Ka & V bands. The influence of the layers mainly depends upon the frequency of the signal. As we are dealing with the frequencies above 10 GHz the ionosphere acts as a transparent layer but the troposphere influence the signal characteristics. In this paper, we are going to analyze and compute the tropospheric impairments like attenuation due to rain and tropospheric scintillations for the geographical area of K L University, Vaddeswaram located at 16.44oE latitude and 80.62oN longitude.
Keywords:	Frequency Congestion, Impairments, Tropospheric Scintillations, Rain Attenuation, Beacon Signal
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	A COMPACT ULTRAWIDEBANDANTENNA WITH BAND-NOTCHES AT WIMAX AND WLAN BANDS
Author:	J. CHANDRASEKHAR RAO, N. VENKATESWARA RAO, M. JYOTHSNA, M N JYOTHIRMAYEE, R. AKHIL, A. MANASA
Abstract:	A circular disk-shaped monopole ultra-wideband (UWB) antenna having a small area of 26 x 31 x 1.6 mm3 was proposed in this paper. The antenna printed on FR4 material of permittivity 4.4 and height of 1.6mm. Microstrip line having a width of 3mm is used to excite antenna. The band-notch from 3.2 to 3.7 GHz is achieved by incorporating C-shape slot having a length of 28 mm on the radiating patch. Two symmetrical C-shaped strips are placed near to the feeding line edges to achieve another notch at 5 to 6 GHz. The proposed antenna is operating in the whole ultra-wideband from 2.4 to 11.8 GHz while rejecting electromagnetic interference from WiMax and WLAN systems. The simulated results such as S-parameters, VSWR, radiation patterns, current distributions, and gain shows that the antenna is well appropriate for wireless portable devices.
Keywords:	Band-Notched Characteristics, Monopole Antenna, Ultra-wideband (UWB)
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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Title:	ANOMALY DETECTION IN TEXT DATA THAT REPRESENTED AS A GRAPH USING DBSCAN ALGORITHM
Author:	ASMA KHAZAAL ABDULSAHIB
Abstract:	Anomaly detection is still a difficult task. To address this problem, we propose to strengthen DBSCAN algorithm for the data by converting all data to the graph concept frame (CFG). As is well known that the work DBSCAN method used to compile the data set belong to the same species in a while it will be considered in the external behavior of the cluster as a noise or anomalies. It can detect anomalies by DBSCAN algorithm can detect abnormal points that are far from certain set threshold (extremism). However, the abnormalities are not those cases, abnormal and unusual or far from a specific group, There is a type of data that is do not happen repeatedly, but are considered abnormal for the group of known. The analysis showed DBSCAN using the improved algorithm can detect this type of anomaly. Thus, our approach is effective in finding abnormalities.
Keywords:	Anomaly Detection, Enhanced DBSCAN algorithm, Unsupervised anomaly detection and Concept Frame Graph (CFG)
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2017 -- Vol. 95. No. 9 -- 2017
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